Resources

Learn more about the microgrid software being rolled out at our demo sites. This info sheet gives an overview of WAMPAC, energy management system, cybersecurity defence system and more.  

Get an overview of the microgrid hardware components we're developing. They are being set up at our two demo sites before being put to the test at our two replication sites.

The main aim of this report is to review and adjust the former information included in previous “Business Model development (first report)”, in order to provide a more detailed map of the results expected and possible business models for each KER identified in TIGON project. The results obtained from the analysis done in this mid-term report will be then used as input for the final release within the “Business Model development (final report)” when the project ends.

The present document serves as the final deliverable for Work Package 4 (WP4), focusing on software applications designed for the effective monitoring, control, and management of the power grid. The deliverable encompasses all the software developed within WP4, comprising the Wide Area Monitoring, Control, and Protection (WAMPAC) system. WAMPAC represents an innovative protection algorithm specifically designed for application in DC microgrids. Additionally, the deliverable includes the Energy Management System (EMS), tasked with overseeing and controlling the power system at the TIGON’s demonstration sites. It also incorporates the Decision Support System (DSS), which plays a crucial role in facilitating the accurate design and operation of hybrid grids. Finally, the document encompasses the Cybersecurity Defence System, an integral component of the overall project's security measures. Each of the software components corresponds to a specific task associated with WP4, collectively contributing to the project's overarching objectives.

A new algorithm has been developed to maximise the autonomy of smart grids under emergency conditions. It prioritises renewable energy sources (RES) and utilises artificial neural networks which provide forecast related to intermittent RES production. Behind this development is Greece's Centre for Research and Technology (CERTH) working as part of TIGON. The authors have produced a paper on the subject. The preprint version is available here on the TIGON website. For subscribers to the publication Energy, Elsevier, an extended final version of the article is available at: https://doi.org/10.1016/j.energy.2023.129661      

This paper, produced by TIGON partner CERTH, won the Best Paper Award at the RTESE 2023 conference. It presents an optimization methodology to perform black start in microgrids after a blackout, utilizing the local storage systems and Renewable Energy Sources (RES).